Data Driven Calls

With the objective of opening up the innovation research process, the IFE Data Hub offers open data through different ways. We invite you to consult them in the following Sections.

Data Hub Calls

A Data-driven call for proposals has two main goals:

Provide an anonymized and curated dataset from the Tecnologico de Monterrey on a topic of educational impact.
Support the scientific and academic community in proposing new solutions focused on the issue related to the dataset.

The challenge for stakeholders in this type of call is to prepare a research proposal with a scientific contribution. This proposal will become a research article where an Artificial Intelligence or Statistical model is presented, which can be implemented and tested in our educational institution once it has been published in a Q1/Q2 Journal.

You can access all of our Data-driven Calls below:

Fostering the Analysis of Competency-based Higher Education

Competency-based education (CBE) as a higher education model is one of the topics that has shown an increased interest in the study, both by university academics and the labor sector, in the last decade.

Find out more

Bringing New Solutions to the Challenges of Predicting and Countering Student Dropout in Higher Education

If a student loses learning during a specific year, the loss is forever for the student, the institution, and society.

Find out more

Data Descriptor

A data descriptor is derived from the dataset that is developed for each data-driven call for proposals. That is, for each data-driven call, a data descriptor is published. A publication type "Data Descriptor" has the purpose of 1) providing researchers with more details about the variables contained in a dataset, 2) presenting where the dataset can be found and information about its use, as well as 3) introducing the methods used to collect or produce the data (https://www.mdpi.com/journal/data/instructions).

Do not stay without reviewing our first published Data Descriptor.

Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education

Alvarado-Uribe, J.; Mejía-Almada, P.; Masetto Herrera, A.L.; Molontay, R.; Hilliger, I.; Hegde, V.; Montemayor Gallegos, J.E.; Ramírez Díaz, R.A.; Ceballos, H.G. Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education. Data 2022, 7, 119. https://doi.org/10.3390/data7090119

Institutional Data Collections

You can download Open Data published by Tecnologico de Monterrey’s researchers in the collection on Educational Innovation.

Educational Innovation

Get access to Tecnológico de Monterrey’s open data.

Research Data Hub